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Spectroscopy and Spectral Analysis, Volume. 38, Issue 9, 2763(2018)

Near Infrared Spectroscopy Analysis Based Machine Learning to Identify Haploids in Maize

LI Wei1... LI Jin-long1, LI Wei-jun2, LIU Li-wei3, LI Hao-guang2, CHEN Chen1 and CHEN Shao-jiang1 |Show fewer author(s)
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    [1] [1] Nanda D K, Chase S S. Crop Science, 1966, 6(2): 213.

    [3] [3] Melchinger A E, Schipprack W, Würschum T, et al. Scientific Reports, 2013, 3: 2129.

    [7] [7] Jones R W, Reinot T, Frei U K, et al. Applied Spectroscopy, 2012, 66(4): 447.

    [9] [9] Team R C. R Foundation for Statistical Computing, Vienna, Austria. 2016.

    [10] [10] Kuhn M. Journal of Statistical Software, 2008, 28(5): 1.

    [11] [11] Dong X, Xu X, Li L, et al. Molecular Breeding, 2014, 34(3): 1147.

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    LI Wei, LI Jin-long, LI Wei-jun, LIU Li-wei, LI Hao-guang, CHEN Chen, CHEN Shao-jiang. Near Infrared Spectroscopy Analysis Based Machine Learning to Identify Haploids in Maize[J]. Spectroscopy and Spectral Analysis, 2018, 38(9): 2763

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    Paper Information

    Received: May. 2, 2017

    Accepted: --

    Published Online: Oct. 2, 2018

    The Author Email:

    DOI:10.3964/j.issn.1000-0593(2018)09-2763-07

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology